Key facts
| API compatibility | OpenAI-compatible /v1/chat/completions (drop-in base URL change) |
| Models | 30+ models from free to frontier tiers |
| Pricing model | Flat monthly plans with unlimited fair-use usage; no per-token billing on self-serve |
| Free tier | Free plan with 2 free AI models, no card required |
| Deployment | Plugsky cloud, your VPC, on-prem, air-gapped options |
| Migration effort | One line: change base_url (and model name) |
| Data residency | Region selection + sovereign deployment options |
| Product status | Chat, streaming, JSON mode, function calling, embeddings, RAG and agents are live; audio, images, batch and fine-tuning are coming soon |
TL;DR
- Keep your OpenAI SDK code — change the base URL and model name.
- Flat monthly pricing removes per-token surprises on self-serve plans.
- 30+ models behind one API, from free chat models to frontier reasoning.
- Data residency options (VPC, on-prem, air-gapped) for regulated teams.
- Start free with two models, then scale to a paid plan when ready.
How it works, step by step
- Create a Plugsky account and generate an API key (free plan, no card).
- Change your base URL from api.openai.com to api.plugsky.com.
- Map your model names to Plugsky models (or keep a default).
- Run your existing tests and evals against the same prompts.
- Compare latency, quality and cost on your real workload.
- Cut over production traffic and monitor with usage analytics.
Original data
Try it yourself
Open the OpenAI migration checker →
Why developers look for an OpenAI alternative
Three reasons dominate: cost predictability, model choice, and data control. Per-token billing makes forecasting hard, single-vendor catalogues limit model choice, and regulated teams need residency guarantees that a US-only endpoint may not provide. A fourth reason is capacity: high-volume products want planned throughput rather than metered limits, so spend scales with value instead of token volume.
What to check before you switch
Work through this list before you move a production key:
- API surface: chat completions, streaming, function calling and JSON mode must all work in your client version.
- Model mapping: rank your prompts against candidate models and keep the eval set versioned.
- Cost shape: compare per-token spend at peak volume with flat monthly plans.
- Residency: confirm where prompts, logs and embeddings are stored for each deployment option.
- Reversibility: keep the migration to one base URL and one model string so rollback is trivial.
How Plugsky compares to staying on OpenAI
Plugsky exposes an OpenAI-compatible /v1/chat/completions endpoint, so most chat, streaming, tool-calling and embedding code migrates by changing the base URL and model name. You get 30+ models behind one API, flat monthly self-serve pricing with fair-use usage instead of per-token metering, and deployment choices including our cloud, your VPC, on-prem and air-gapped environments. The free plan includes two models (plugsky-micro and plugsky-lite) with no card, and a 14-day full-access trial is available for deeper evaluation. Where Plugsky does not replace OpenAI today: specialist endpoints such as audio, images and fine-tuning are roadmap items — check the docs before planning those migrations.
When OpenAI is still the right choice
Stay with OpenAI when you depend on specialist endpoints such as speech, image generation or fine-tuning, when a specific model behaviour is contractually required, or when your evals show no alternative meets the quality bar. Many teams run both: OpenAI for specialist or frontier work and Plugsky for high-volume chat, embeddings and agent traffic behind one OpenAI-compatible client, with routing that shifts as models and pricing change.
Honest comparison
| Capability | Plugsky | OpenAI | Building in-house |
|---|---|---|---|
| API compatibility | Drop-in base URL change | Native | Full rewrite |
| Pricing | Flat monthly, unlimited fair use | Per-token | GPU + ops cost |
| Model choice | 30+ models, one API | OpenAI family | You host each model |
| Data residency | Region choice, VPC/on-prem/air-gapped | Limited region options | You control |
| Migration effort | One line + model mapping | No change | Months |
| Specialist endpoints | Audio, images and fine-tuning are coming soon | Speech, images and fine-tuning available today | You build each one |
Frequently asked questions
Can I keep using the OpenAI SDK?
Yes. Plugsky exposes an OpenAI-compatible chat completions endpoint, so you change the base URL and model name and keep your existing SDK code.
Is there a free plan?
Yes — the free plan includes two free AI models (plugsky-micro and plugsky-lite) with no credit card, and a 14-day full-access trial is available.
How is pricing structured?
Self-serve plans are flat monthly with unlimited fair-use usage. There are no per-token charges or overage fees on self-serve plans. See the live pricing page for current plans.
Does Plugsky support streaming and function calling?
Yes — streaming and function calling are supported; check the docs for the current capability matrix per model.
Can I deploy in my own cloud?
Yes. Plugsky supports VPC, on-prem and air-gapped deployments for enterprise customers.
What if I want to move back?
Your code stays OpenAI-compatible, so switching back is the same one-line change in reverse.
Which workloads should stay on OpenAI?
Specialist endpoints like audio, images and fine-tuning are coming soon on Plugsky, so keep those on OpenAI for now.